INDOOR POSITIONING BY VISUAL-INERTIAL ODOMETRY

11 citations as recorded by crossref.

1. Effect Evaluation of Spatial Characteristics on Map Matching-Based Indoor Positioning S. Luo et al. https://doi.org/10.3390/s20226698
2. Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting G. Retscher & A. Leb https://doi.org/10.3390/s21020432
3. Unifying Geometric- and Learning-Based Visual–Inertial Odometry: A Comprehensive Evaluation and Comparative Study F. Gu et al. https://doi.org/10.1109/JSEN.2026.3666303
4. Magnetometry, Acoustical and Inertial Indoor-Positioning in Healthcare I. Cherepanova et al. https://doi.org/10.32603/1993-8985-2020-23-5-7-23
5. <inline-formula> <tex-math notation="LaTeX">$HTrack$ </tex-math> </inline-formula>: An Efficient Heading-Aided Map Matching for Indoor Localization and Tracking Y. Wu et al. https://doi.org/10.1109/JSEN.2019.2891313
6. Accumulative Errors Optimization for Visual Odometry of ORB-SLAM2 Based on RGB-D Cameras J. Qin et al. https://doi.org/10.3390/ijgi8120581
7. Landmark Graph-Based Indoor Localization F. Gu et al. https://doi.org/10.1109/JIOT.2020.2989501
8. A Recurrent Deep Network for Estimating the Pose of Real Indoor Images from Synthetic Image Sequences D. Acharya et al. https://doi.org/10.3390/s20195492
9. BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images D. Acharya et al. https://doi.org/10.1016/j.isprsjprs.2019.02.020
10. Fusing denoised stereo visual odometry, INS and GPS measurements for autonomous navigation in a tightly coupled approach M. Nezhadshahbodaghi et al. https://doi.org/10.1007/s10291-021-01084-4
11. A review of augmented reality visualization methods for subsurface utilities M. Muthalif et al. https://doi.org/10.1016/j.aei.2021.101498